Self-Service Analytics
The bottleneck in most analytics programs is the queue of ad hoc requests to the data team. Self-service analytics breaks that bottleneck by giving business users governed access to curated data they can explore themselves. We design and implement the data products, tooling, and training that make self-service actually work.
70%
Reduction in Ad Hoc Requests
5x
More Users Accessing Data
2 Days
Avg Time to Insight (Down from 2 Weeks)
Self-Service Analytics Services
Practical, production-ready work — not proofs of concept that never make it to real users.
Data Product Design
Design curated, documented data marts and semantic models that business users can safely query without breaking production.
Self-Service Tool Implementation
Implement and configure Metabase, Mode, or similar tools that match your users' technical skill level and access requirements.
Data Literacy Training
Training programs that help business analysts understand your data model, write basic queries, and interpret results correctly.
Governance Guardrails
Access controls, query limits, and usage monitoring that prevent self-service from becoming a data security or cost problem.
Common Engagements
Marketing Analytics
Self-service analytics environment for marketing teams to analyze campaign performance and attribution without SQL skills.
Product Analytics
Self-service event data exploration for product managers to answer funnel and retention questions independently.
Finance Reporting
Governed financial data mart that lets finance analysts build their own P&L views and variance analyses.
Operations Monitoring
Operational data access for supply chain and operations teams to monitor KPIs and investigate anomalies without data team involvement.
What You Can Count On
- Data team reclaims time from ad hoc requests to work on higher-value projects
- Business users get answers in hours instead of waiting in a ticket queue for days
- Governed access ensures users can explore without accessing data they should not see
- Usage analytics identify which data products are most valuable and which need improvement
- Standardized metric definitions prevent different teams from reporting different numbers
Technologies We Use
Ready to Get Started?
Tell us about your project and we'll put together a practical path forward.
Talk to Our Team